Hassan Ali

I am an aspiring Artificial Intelligence Engineer specializing in Python, deep learning (CNNs, Transformers), NLP, and data-driven solutions. I focus on developing practical AI systems that address real-world problems across medical imaging, conversational agents, and computer vision.

I developed LongiTumorSense, an enterprise-grade brain tumor detection platform using an ensemble of six deep learning models, achieving 92–98% diagnostic accuracy and 98% sensitivity, with features for HIPAA-compliant authentication and automated reporting. I also built production-oriented projects including an AI Post Generator, Voice Emotion Recognition system, and Background Removal Pro.

My hands-on training includes project-based Applied AI and Applied Data Science labs from WorldQuant University and a BSc in Software Engineering where I studied AI fundamentals, data structures, algorithms, databases, and software engineering best practices. I use modern tooling and workflows, including PyTorch, FastAPI, Docker, Git, and vector search (FAISS).

I bring a pragmatic, collaborative approach to building scalable AI products, emphasizing reproducibility, performance validation, and clear deployment-ready implementations. I am passionate about delivering impactful AI solutions that reduce friction and accelerate decision-making.